Spruce.csv

This dataset is described on p. 10 of the textbook. You may load it from the dataset URL linked above or from the resampledata package.

library(tidyverse)
DATA <- read_csv("https://raw.githubusercontent.com/STAT-JET-ASU/Datasets/master/Chihara/Spruce.csv")
glimpse(DATA)
Observations: 72
Variables: 9
$ Tree        <dbl> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17…
$ Competition <chr> "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC…
$ Fertilizer  <chr> "F", "F", "F", "F", "F", "F", "NF", "NF", "NF", "NF", "NF…
$ Height0     <dbl> 15.0, 9.0, 12.0, 13.7, 12.0, 12.0, 16.8, 14.6, 16.0, 15.4…
$ Height5     <dbl> 60.0, 45.2, 42.0, 49.5, 47.3, 56.4, 43.5, 49.2, 54.0, 45.…
$ Diameter0   <dbl> 1.984375, 1.190625, 1.785937, 1.587500, 1.587500, 1.58750…
$ Diameter5   <dbl> 7.4, 5.2, 5.7, 6.4, 6.2, 7.4, 4.9, 5.4, 7.1, 5.1, 4.1, 7.…
$ Ht.change   <dbl> 45.0, 36.2, 30.0, 35.8, 35.3, 44.4, 26.7, 34.6, 38.0, 29.…
$ Di.change   <dbl> 5.415625, 4.009375, 3.914062, 4.812500, 4.612500, 5.81250…
head(DATA)
# A tibble: 6 x 9
   Tree Competition Fertilizer Height0 Height5 Diameter0 Diameter5 Ht.change
  <dbl> <chr>       <chr>        <dbl>   <dbl>     <dbl>     <dbl>     <dbl>
1     1 NC          F             15      60        1.98       7.4      45  
2     2 NC          F              9      45.2      1.19       5.2      36.2
3     3 NC          F             12      42        1.79       5.7      30  
4     4 NC          F             13.7    49.5      1.59       6.4      35.8
5     5 NC          F             12      47.3      1.59       6.2      35.3
6     6 NC          F             12      56.4      1.59       7.4      44.4
# … with 1 more variable: Di.change <dbl>